摘要
通过对小波变换原理的学习以及对地球磁场的初步认识,利用小波变换可以讲数字信号分解,选择相对较好的墨西哥帽小波函数,对安徽省蒙城地震台近年来的典型地磁暴事件的预处理分数据进行了简单分析,从时域及频域中得到磁暴的重要信息并利用这些重要信息检测地震磁效应,对于日常的地震监测和预报工作,获取地震前的地磁异常信号的识别具有重要意义。
Through the study of the principle of wavelet transform and the preliminary understanding of the earth’s magnetic field,the wavelet transform can be used to decompose digital signals,and a relatively good Mexican hat wavelet function is selected.The typical geomagnetic storm events in Mengcheng Seismic Station,Anhui Province in recent years.The pre-processed sub-data of the company is simply analyzed,and important information of the magnetic storm is obtained from the time domain and frequency domain,and the important information is used to detect the seismic magnetic effect.For the daily earthquake monitoring and prediction work,the identification of the geomagnetic abnormal signal before the earthquake is obtained It is of great significance.
作者
应允翔
朱厚林
汪继林
陶方宇
车濛琪
刘红飞
YING Yunxiang;ZHU Houlin;WANG Jilin;TAO Fangyu;CHE Mengqi;LIU Hongfei(Anhui Mengcheng Geophysical National Field Scientif ic Observation and Research Station,Mengcheng Seismic Station,Mengcheng,Anhui Province,233500 China)
出处
《科技资讯》
2020年第29期79-82,共4页
Science & Technology Information
关键词
小波变换
地磁日变化
震磁效应
地磁磁暴
Wavelet transform
Diurnal variation of geomagnetism
Seismomagnetic effect
Geomagnetic storm
